{"title":"Gravitational Search Algorithm (GSA) Optimized SSSC Based Facts Controller to Improve Power System Oscillation Stability","authors":"Gayadhar Panda, P. K. Rautraya","volume":86,"journal":"International Journal of Electrical and Computer Engineering","pagesStart":416,"pagesEnd":424,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/9998018","abstract":"
In this paper, an investigation into the use of modified Genetic Algorithm optimized SSSC based controller to aid damping of low frequency inter-area oscillations in power systems is presented. Controller design is formulated as a nonlinear constrained optimization problem and modified Genetic Algorithm (MGA) is employed to search for the optimal controller parameters. For evaluation of effectiveness and robustness of proposed controllers, the performance was tested on multi-machine system subjected to different disturbances, loading conditions and system parameter variations. Simulation results are presented to show the fine performance of the proposed SSSC controller in damping the critical modes without significantly deteriorating the damping characteristics of other modes in multi-machine power system.<\/p>\r\n","references":"[1]\tP. Kundur, Power System Stability and Control, McGraw-Hill, 1994.\r\n[2]\tN.G. Hingorani, L. Gyugyi, Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems, IEEE Press, New York, 2000.\r\n[3]\tL. Gyugyi, Solid-state control of electric power in ac transmission systems, in: Int. Symp. Elect. Energy Conv. in Power Syst., Invited Paper, 1989, No T-IP\r\n[4]\tR. Mathur, R. Verma. Thyristor-based FACTS Controllers for Electrical Transmission Systems. IEEE press, Piscataway, 2002.\r\n[5]\tY. Song, T. Johns. Flexible AC Transmission Systems (FACTS). IEE, London, 2000.\r\n[6]\tL. Gyugyi, Dynamic compensation of ac transmission lines by solid-state synchronous voltage sources, IEEE Trans. Power Delv. 9 (1994) 904\u2013911.\r\n[7]\tL. Gyugyi, C.D. Schauder, K.K. Sen, Static synchronous series compensator: a solid state approach to the series compensation of transmission lines, IEEE Trans. Power Delv. 12 (1997) 406\u2013417.\r\n[8]\tK.K. Sen, SSSC-static synchronous series compensator: theory, modeling, and applications, IEEE Trans. Power Delv. 13 (1998) 241\u2013246.\r\n[9]\tH.F. Wang, Static synchronous series compensator to damp power system oscillations, Electr. Power Syst. Res. 54 (2000) 113\u2013119.\r\n[10]\tD. Menniti, A. Pinnarelli, N. Scordino, N. Sorrentino, Using a FACTS device controlled by a decentralised control law to damp the transient frequency\r\n[11]\tS. Panda, N.P. Padhy, Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller design, Appl. Soft Comput. 8 (4) (2008) 1418\u20131427.\r\n[12]\tS. Panda, N.P. Padhy, R.N. Patel, Power system stability improvement by PSO optimized SSSC-based damping controller, Electr. Power Comp. Syst. 36 (5) (2008) 468\u2013490.\r\n[13]\tS. Panda ,S.C. Swain , P.K. Rautray , R.K. Malik , G. Panda ,Design and analysis of SSSC-based supplementary damping controller, Simulation Modelling Practice and Theory 18 (2010) 1199\u20131213\r\n[14]\tS. Panda, Differential evolutionary algorithm for TCSC-based controller design, Simulat. Model. Pract. Theory 17 (2009) 1618\u20131634.\r\n[15]\tS. Panda, Multi-objective evolutionary algorithm for SSSC-based controller design, Electr. Power Syst. Res. 79 (6) (2009) 937\u2013944.\r\n[16]\tWang, H. F., \"Static synchronous series compensator to damp power system oscillations\u201d, Int. J. Elect. Power Syst. Research, Vol. 54, pp. 113-119, 2000.\r\n[17]\tK.K. Sen, SSSC-static synchronous series compensator: theory, modeling, and applications, IEEE Trans. Power Delv. 13 (1998) 241\u2013246\r\n[18]\tD.E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, 1989.\r\n","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 86, 2014"}